DocumentCode
3183665
Title
Advanced techniques for automatic surface search radar correlation and tracking
Author
Yu, M. ; Meyer, M. ; Byrne, M. ; Winston, H.
Author_Institution
Westinghouse Norden Syst., Melville, NY, USA
fYear
1995
fDate
8-11 May 1995
Firstpage
299
Lastpage
303
Abstract
Techniques for automatically tracking a wide class of slow targets, using both MTI and non-MTI surface search radars, are described. These algorithms, which include correlation, expert systems contact classification, and multiple hypothesis tracking, must operate under a variety of environmental conditions, and be capable of detecting targets with cross-sections as small as several square meters. In order to achieve acceptable response times and low false track disclosure rates, the algorithms have been designed to work adaptively. In performance tests, this new closed-loop system has reduced reaction time by up to 50%, compared to previous commercial and military surface tracking systems
Keywords
adaptive signal processing; closed loop systems; correlation methods; expert systems; radar computing; radar cross-sections; radar detection; radar target recognition; radar tracking; search radar; MTI surface search radars; adaptive algorithms; automatic surface search radar; automatic tracking; closed-loop system; commercial surface tracking systems; environmental conditions; expert systems contact classification; low false track disclosure rates; military surface tracking systems; multiple hypothesis tracking; nonMTI surface search radar; performance tests; radar correlation; radar detection; radar target cross-sections; radar tracking; reaction time; response times; slow targets; Boats; Delay; Expert systems; Object detection; Radar clutter; Radar cross section; Radar detection; Radar tracking; Sea surface; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 1995., Record of the IEEE 1995 International
Conference_Location
Alexandria, VA
Print_ISBN
0-7803-2121-9
Type
conf
DOI
10.1109/RADAR.1995.522562
Filename
522562
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